Mineral resource assessment projects require the best possible 3D model of structure and other controls on deposit geometry. Our fully integrated, multi-disciplinary modelling solution ensures that you minimize resource evaluation risk by bringing all the relevant data to bear on the development of the ore deposit model. An extensive suite of geostatistical tools for spatial estimation and simulation provides the power to model any continuous or categorical variable. Our thorough and flexible workflows facilitate customized resource assessment as well as interpolation, estimation, and simulation of any continuous or categorical properties through a variety of 3D rectilinear or stratigraphic grids.

Key technology

Designed to support property interpolation and to apply geostatistical techniques in a faulted and folded geologic environment. It facilitates the modelling of simple and complex geological depositional environments, permitting overturned beds, listric faults, inverse or Y-faults, and faults terminating in the middle of a geological layer. Grid cells can be deformed to follow stratigraphy and can be cut to properly accommodate fault geometry.

Provides an extensive suite of geostatistical algorithms to model any continuous or categorical variable, from inverse distance to kriging and conditional simulation. It includes a flexible object-based stochastic simulation algorithm and an efficient multiple-point simulation algorithm (Impala) for geologically realistic discrete models.

Software

Build and analyze integrated, quantitative, multi-disciplinary 3D earth models with the power of 3D-GIS. The GOCAD Mining Suite Base Module provides the essential tools required for modelling of structure and geological contacts, as well as defining block models as rectilinear or stratigraphic 3D grids. Scalar and vector properties may be modelled on all objects using a wide range of property modelling tools. The GOCAD Mining Suite Base Module provides the platform for our resource estimation tools.

You can easily populate grids with multiple properties through a flexible and dynamic workflow. It offers you an extensive suite of geostatistical spatial estimation and simulation algorithms to model any continuous variable. Its post-processing workflow provides you with tools for summarizing and analyzing simulation results.

Ideal for modelling any discrete variable with a post-processing workflow. It offers you a flexible object-based stochastic simulation algorithm and an efficient multiple-point simulation algorithm (Impala) for geologically realistic discrete models.